#9 · Primary category: AI Data Infrastructure & Storage

risingwave

apache-iceberg data-engineering database etl-pipeline event-streaming kafka materialized-view postgresql rust stream-processing webhook

Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.

Project last updated:08/29/26

GitHub Stars

9.3K

Forks

825

Contributors

225

License

Apache-2.0

Why we included this project

RisingWave targets teams that need fresh, queryable data for agents and real-time applications without the operational drag of a multi-tool pipeline. It ingests from databases, event streams, and webhooks, processes updates incrementally, and serves results at low latency. The pitch is replacing the usual chain of Debezium, Kafka, Flink, and a serving database with one system that handles ingest, processing, and storage. That consolidation cuts both latency and the overhead of maintaining integration glue. For engineers whose bottleneck is stale data rather than compute, this is a direct fit.

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